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S2E2 FP&A Head of Qualtrics on Turning Insights into Impact | Aswin Saravanan
In the second episode of Data Chatter Season 2, Aswin Saravanan shares how the data -> impact value-chain works, his framework to guide decision making for business leaders and challenges with…
S2E1 Ex-Amazon Business Leader on Data Culture | Liz Gebhard
In Episode 1 of Data Chatter Season 2, meet Liz Gebhard, the Interim Transformation Officer at World of Books. She previously spent a decade in leadership roles at Amazon. Liz shares her storied…
S2 Season 2 Trailer
Data Chatter is back with a (belated) second season! In this season, Karthik Shashidhar, now cofounder and CEO of Babbage Insight, chats with business leaders on how they make decisions using data,…
S1E16 16. Teaching Data Through Stories
The phrase “using data to tell stories” is so commonly used nowadays that it runs the risk of becoming a cliche, if it hasn’t become one already. This episode’s guest flips this logic around -…
S1E15 15. On Data And Journalism
There is a conception, or misconception, that journalists are not good at maths. It is rather common to see newspaper headlines and graphics that make basic mathematical and logical errors. On the…
S1E14 14. Programming Data Science: R vs Python
There are two dominant programming languages used for data science nowadays - R and Python, each having its own set of loyal users. Both have their own strengths and weaknesses. In this episode, we…
S1E13 13: Is this real, Data Science, or is it a fantasy?
Over the last decade, we have seen tremendous advances in big data, data science, artificial intelligence and machine learning. Every compnay wants to be a tech-first comapny now, and wants to “do…
S1E12 12. Carts and graphs: Storytelling through maps
In this edition of data chatter, we will talk about maps. Maps are excellent devices for telling stories. Think of the maps you see around election times that show which parties won seats where. in…
S1E11 11. Unknown Unknowns: Risk and Uncertainty
The fundamental principle underlying all analytics and data science is Probability. And probability was first invented, or should I say discovered, to assess risk. So what is risk? Can we quantify…
S1E10 10. From Science To Data Science
When I was graduating college in the mid 2000s, the word in job descriptions that most commonly appeared alongside “data” was “analytics”. However, around 2010, the phrase “data science” (HBR link)…
S1E9 9. Making Data Science Work
Everyone wants to do “data science”. Companies want to introduce “machine learning” in their products. Most fund raises by startups nowadays are accompanied by a statement of intent to invest in…
S1E8 8. Data Science For Babies
There is an ongoing debate on when children should be taught to code. There is one group of people which insists that computer programming is a lifelong skill, and is best taught early. The opposing…
S1E7 7. From Random Walks to Random Forests: Analytics and data science on Wall Street
One of the first industries to extensively use advanced maths to do better was financial services. Ever since Fischer Black and Myron Scholes published their seminal paper on option pricing in 1973,…
S1E6 6. Manhattans and Moneyball to Kabaddi: How analytics evolves with sports
For a lot of people, their first introduction to data and analytics happens through sport. Fans have tracked batting and bowling averages for many decades now. In the 1990s, with the coming of…
S1E5 5. Conjoints and Coupons: The evolution of quantitative marketing
In business schools in India, there is a misconception that marketing is not quantitative, and that it is for the more “creative” people. However, if you look at its history, marketing has always…
S1E4 4. Itihaasa (history) of Analytics in India
Analytics and Data Science have become mainstream career choices for graduating students in India nowadays. Analytics companies are nowadays among the largest recruiters at engineering colleges. How…
S1E3 3. Make BI Great Again
“Business intelligence” has become a rather unfashionable term in the world of data and analytics. From generating buisness insights from intelligent use of data, it has largely devolved to become a…
S1E2 2. The Big Deal about Big Data
Around a decade ago, “big data” became fashionable. There were lots of jokes and memes created around “big data”. Everyone wanted to do big data. Now, in 2021, the hype around big data may have died…
S1E1 1. Excel-lent Graphics
When we read or talk about “data science”, most of the talk is around modelling - the maths behind it, the “cool” modelling techniques, what kind of CPUs or GPUs are required, and all that. What we…
S1 0. Trailer
This is the trailer of "data chatter", a new podcast on all things data. Data Chatter is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a…
Frequently Asked Questions
Data Chatter has published 20 episodes since June 2021, covering topics in Business, Management.
Data Chatter is currently sporadic with new episodes every 2 weeks. Average episode length is 54m.
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